Causality-Driven Feature Selection for Calibrating Low-Cost Airborne Particulate Sensors Using Machine Learning

Causality-Driven Feature Selection for Calibrating Low-Cost Airborne Particulate Sensors Using Machine Learning

With escalating global environmental challenges and worsening air quality, there is an urgent need for enhanced environmental monitoring capabilities. Low-cost sensor networks are emerging as a vital solution, enabling widespread and affordable deployment at fine spatial resolutions. In this context...

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Bibliographic Details
Main Authors: Vinu Sooriyaarachchi, David J. Lary, Lakitha O. H. Wijeratne, John Waczak
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Sensors
Subjects:
machine learning
causality
sensor calibration
Online Access:https://www.mdpi.com/1424-8220/24/22/7304
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